Land-use/land-cover change and ecosystem service provision in China

Song, Wei; Deng, Xiangzheng

doi:10.1016/j.scitotenv.2016.07.078

Cited by 536 publications

(223 citation statements)

References 66 publications

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“…in these approaches, the factors at the origin of the largest land use and land cover changes (LUCC) are the most important for the observed negative impacts (e.g., water erosion due to forest losses, catastrophic phenomena such as floods that are related to increases in impermeable surfaces, and reductions in surface water quality) (fearnside, 1995;Hansen, stehman, & Potapov, 2010;schoene & Bernier, 2012). studies of LUCC are essential to the understanding of many presently observed phenomena, especially climate changes (Li et al, 2017;tasser, Leitinger, & tappeiner, 2017), biological (Moreira et al, 2012;song & Deng, 2017) and environmental perturbations (Kim et al, 2017), landscape fragmentation (nurwanda, Zain, & rustiadi, 2016), human health impacts (Patz & Olson, 2017) and the growth of urban areas (Du & Huang, 2017), among others.…”

Section: Land Use and Land Covermentioning

confidence: 99%

Modelling the Land Use and Land Cover Changes in Portugal: A Multi-Scale and Multi-Temporal Approach

Meneses

Reis

Vale³

et al. 2018

FIT

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-Portuguese territory has experienced relevant land use and land cover changes (LUCC) in recent decades. The revision of existing land use and land cover (LUC) datasets and the production of new datasets have allowed us to better understand LUCC over time. This study furthers that analysis by using the most recent LUC datasets, which cover the entirety of the Portuguese continental area from 1990 to 2012 and presents innovative knowledge that aids in the understanding of LUC dynamics within that period. This study shows that the trends that have induced spatial variations within different LUC classes have changed over time, revealing different spatial and temporal dynamics of those LUCC in the Portuguese territory. The main LUCC are related to reductions in forests and certain types of agricultural areas and increases in urban areas, but the main LUCC assume different dynamics when taken at the regional scale (nUts ii). future tendencies of LUCC were also estimated using Cellular automata-Markov (Ca-Markov), and the results show the increasing and decreasing tendencies of the LUC types previously mentioned. The areas of LUC datasets with different properties were compared, and large area discrepancies were observed for some LUC classes. These assessments provide relevant results for the evaluation and understanding of LUCC for Portuguese planning processes in the near future.Keywords: Land use and land cover (LUC); LUC geoinformation properties; LUC changes (LUCC); LUCC projection; mainland Portugal. e a produção de nova cartografia vem permitir o estudo das alterações de UOs ao longo do tempo. este estudo apresenta avanços na análise destas alterações (de 1990 a 2012) utilizando a cartografia mais recente para o território português (cobertura integral), mas também um conhecimento inovador que ajuda a perceber essas alterações. as tendências de variação espacial dos vários tipos de UOs não são constantes ao longo do tempo, revelando as diferentes dinâmicas espaciais e temporais destas alterações no território em análise. sobressai a redução de área florestal e de determinados tipos de áreas agrícolas, e o aumento das áreas urbanas. no entanto, as variações observadas assumem diferentes dinâmicas a nível regional (nUts ii). as futuras alterações de UOs foram estimadas através de autómatos celulares (Ca-Markov), revelando os resultados tendência para o aumento e redução dos tipos de UOs anteriormente referidos. a área de UOs foi comparada com outra cartografia de UOs (com diferentes propriedades), observando-se grande discrepância de área em algumas classes de UOs. estas avaliações são importantes para se compreender as alterações de uso e ocupação do solo relevantes para o planeamento do território em Portugal num futuro próximo.

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Section: Land Use and Land Covermentioning

confidence: 99%

Modelling the Land Use and Land Cover Changes in Portugal: A Multi-Scale and Multi-Temporal Approach

Meneses

Reis

Vale³

et al. 2018

FIT

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“…However, in most arid regions where water is scarce, rainfall is decreasing, leading to an increasing imbalance between global water supply and demand [16][17][18][19]. At the same time, wastewater and pollution exacerbate water shortages and cause a number of negative effects including ecosystem degradation and decreases in biodiversity [20][21][22][23]. It is therefore critical to understand the water supply available to, and the demand of, the main water-using sectors as well as to explore reasonable and sustainable ways to utilize this resource to ensure regional sustainable development and ecological security.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

Liu

Song

Deng

2017

Water

Self Cite

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Abstract:Agricultural expansion, population growth, rapid urbanization, and climate change have all significantly impacted global water supply and demand and have led to a number of negative consequences including ecological degradation and decreases in biodiversity, especially in arid and semi-arid areas. The agricultural sector consumes the most water globally; crop irrigation alone uses up more than 80% of available agricultural water. Thus, to maintain sustainable development of the global economy and ecosystems, it is crucial to effectively manage crop irrigation water. We focus on the arid and semi-arid Heihe River Basin (HRB), China, as a case study in this paper, extracting spatiotemporal information on the distribution of crop planting using multi-temporal Thematic Mapper and Enhanced Thematic Mapper Plus (TM/ETM+) remote sensing (RS) images. We estimate the spatiotemporal crop irrigation water requirements (IWR c ) using the Food and Agriculture Organization of the United Nations (FAO) Penman-Monteith method and reveal variations in IWR c . We also analyze the impact of changes in crop planting structure on IWR c and discuss strategies for the rational allocation of irrigation water as well as policies to alleviate imbalance between water supply and demand. The results of this study show that effective rainfall (ER) decreases upstream-to-downstream within the HRB, while crop evapotranspiration under standard conditions (ET c ) increases, leading to increasing spatial variation in IWR c from zero up to 150 mm and between 300 and 450 mm. Data show that between 2007 and 2012, annual mean ER decreased from 139.49 to 106.29 mm, while annual mean ET c increased from 483.87 to 500.38 mm, and annual mean IWR c increased from 339.95 to 370.11 mm. Data show that monthly mean IWR c initially increased before decreasing in concert with crop growth. The largest values for this index were recorded during the month of June; results show that IWR c for May and June decreased by 8.14 and 11.67 mm, respectively, while values for July increased by 5.75 mm between 2007 and 2012. These variations have helped to ease the temporal imbalance between water supply and demand. Mean IWR c values for oilseed rape, corn, barley, and other crops all increased over the study period, from 208. 43, 349.35, 229.26, and 352.85 mm, respectively, in 2007, to 241.81, 393.10, 251.17, and 378.86 mm, respectively, in 2012. At the same time, the mean IWR c of wheat decreased from 281.53 mm in 2007 to 266.69 mm in 2012. Mainly because of changes in planting structure, the total IWR c for the HRB in 2012 reached 2692.58 × 10 6 m 3 , an increase of 332.16 × 10 6 m 3 (14.07%) compared to 2007. Data show that 23.11% (76.77 × 10 6 m 3 ) of this increase is due to crop transfers, while the remaining 76.89% (255.39 × 10 6 m 3 ) is the result of the rapid expansion of cultivated land. Thus, to maintain both the sustainable development and ecological security of the HRB, it is crucial to efficiently manage and utilize agricultural water in light of spat...

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“…Although PBAL and HSPFCP have protected a certain amount of high-quality farmland and improved their quality to some extent, the fast urbanization in this area has led to significant farmland loss [62,63]. According to Zhang et al [62], the main reason of the ecosystem service decrease in the BTH region is the increase in artificial land and loss of cropland.…”

Section: Protect Farmlandmentioning

confidence: 99%

Spatial Heterogeneity of Typical Ecosystem Services and Their Relationships in Different Ecological–Functional Zones in Beijing–Tianjin–Hebei Region, China

Xie

Zhou

et al. 2017

Sustainability

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Abstract:Recognizing changes in ecosystem services (ES) and their relationships is the basis of achieving sustainable regional development. Regional collaborative development has become the core strategy of the development of the Beijing-Tianjin-Hebei (BTH) region. However, sub regions have different ecological changes and relationships. Here, we quantify and map ES, including water yield, sediment retention, carbon sequestration and grain productive capacity in 2000, 2005, 2010 and 2015, using several biophysical models and explore the relationships of spatial correction, trade-offs and synergies among multiple ES in different spatial scales. Results across the four years show that the quality and variation tendency of ES from each region are spatially heterogeneous. The relationship between ES that are not significant in the entire region shows different correlations in individual ecological-functional zones. From the perspective of regional disparity, the effect of land use factor and correlative mechanisms among ES are analyzed. To observe the spatiotemporal variations and relationships of ES in individual regions, land use management policies are proposed on the basis of the results of the relationships among ES.

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Land-use/land-cover change and ecosystem service provision in China

Cited by 536 publications

References 66 publications

Modelling the Land Use and Land Cover Changes in Portugal: A Multi-Scale and Multi-Temporal Approach

Modelling the Land Use and Land Cover Changes in Portugal: A Multi-Scale and Multi-Temporal Approach

Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

Spatial Heterogeneity of Typical Ecosystem Services and Their Relationships in Different Ecological–Functional Zones in Beijing–Tianjin–Hebei Region, China

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